Method and System for Real-Time Livestock Management

ABSTRACT

A method and system for managing livestock health in real-time is provided. The method and system analyze and detect anomalies in various livestock health-related parameters and provide a health management plan that includes nutritional recommendations for curing the anomalies. A method for manufacturing a livestock feed is also provided.

CROSS REFERENCE TO RELATED APPLICATION

This application claims priority to U.S. Provisional Patent ApplicationNo. 62/607,500, filed on Dec. 19, 2017, which is incorporated byreference herein in its entirety.

BACKGROUND OF THE INVENTION

Livestock production currently suffers from a fragmented system where ananimal may be weighed only a limited number of times during ownership.Any adjustments made to the livestock's nutritional program toaccommodate for changes in weight, health status and other healthindicators are not usually made or are made at a time that is too lateto improve the animal's health. Even when changes to a livestock feed ismade, a livestock owner is usually relegated to purchasing and feedinglivestock from bulk purchased foodstuff. Such a lack of care may resultin underweight, overweight or otherwise unhealthy livestock sinceparticular livestock may need regular nutritional adjustments duringtheir lifespan to compensate for changes in various factors. Such lackof nutritional adjustment and feeding conditions may result in profitloss for the livestock owner. Thus, there remains a need for system andmethod that addresses these and other challenges in real-time andprovides a health management plan particularly suited to livestock inimmediate need thereof.

SUMMARY OF THE INVENTION

According to one aspect, a method of managing livestock health inreal-time is provided. The method includes the step of obtainingreal-time livestock sensor data from at least one sensor located on oraround one or more livestock. The data includes at least one oflivestock weight, livestock activity level, livestock ammonia level,body temperature, body weight, water intake, or body pH. The methodfurther includes the step of analyzing, by processor, the real-timelivestock sensor data upon receipt from the at least one sensor todetect at least one anomaly in the livestock weight, livestock activitylevel, livestock ammonia level, body temperature, body weight, waterintake, or body pH. Any one or more health-related anomalies may beanalyzed and detected and stored in the system provided herein. Themethod further includes the step of generating a customized livestockhealth management plan that includes one or more recommended nutritionalchanges for the livestock in the form of a customized feedstock recipe.The recipe is particularly suited and customized to cure the at leastone detected anomaly. The method further includes the step oftransmitting the livestock health management plan wirelessly to at leastone livestock owner interface as provided herein. Upon transmission tothe livestock owner interface, the livestock owner has the option toconfirming acceptance of the plan or denying acceptance. Uponconfirmation of acceptance of the livestock health management plan, awireless signal is sent to a feedstock producer including instructionsto manufacture the customized feedstock recipe for the livestock owner.According to one embodiment of the method, the livestock sensor data isobtained from a plurality of sensors located on a plurality of livestockand the customized feedstock recipe may be fed to the plurality oflivestock. According to one embodiment of the method, the livestocksensor data is obtained from at least one sensor on or around anindividual livestock animal and the customized feedstock recipe may befed to the individual livestock animal. According to one embodiment ofthe method, the at least one sensor transmits a particular codeassociated with an individual livestock animal such that the customizedfeedstock recipe is particularly suited for the one livestock animalthat matches the particular code. According to one embodiment of themethod, the customized feedstock recipe includes a change in protein,vitamin, mineral or caloric intake to correct the anomaly. According toone embodiment of the method, the health management plan furtherincludes at least one livestock medical diagnosis and, optionally, atleast one prescribed medicament.

According to another aspect, a system for livestock health management isprovided. The system includes at least one server, at least onelivestock owner interface including a data entry system, the livestockowner interface in wireless communication with a gateway and the atleast one server, at least one livestock sensor, the livestock sensorcoupled to a gateway that is in wireless communication with the at leastone server, a livestock feed producer interface including a data entrysystem, the livestock manufacturer interface in wireless communicationwith the at least one server and livestock feed manufacturing equipment,and a memory and processor in wireless communication with the server,livestock owner interface, at least one livestock sensor and livestockproducer interface. The memory and processor are configured to performthe step of obtaining real-time livestock sensor data from at least onesensor located on or around one or more livestock, the data including atleast one of livestock weight, livestock activity level, livestockammonia level, body temperature, body weight, water intake, or body pH.The memory and processor are also configured to perform the step ofanalyzing the real-time livestock sensor data to detect at least oneanomaly in the livestock weight, livestock activity level, livestockammonia level, body temperature, body weight, water intake, or body pH.The memory and processor are configured to perform the step ofgenerating a customized livestock health management plan that includes atailored feedstock recipe adapted to cure the at least one detectedanomaly upon being fed to the livestock. The memory and processor areconfigured to perform the step of transmitting the livestock healthmanagement plan wirelessly to at least one livestock owner interface.According to one embodiment, the system further includes at least onelivestock scale, the livestock scale coupled to a gateway that is inwireless communication with the at least one server, memory andprocessor. According to one embodiment, the system further includes atleast one database coupled to or in wireless communication with agateway that is in wireless communication with the at least one server,memory and processor. According to one embodiment, the livestock ownerinterface allows the livestock owner to enter individual livestock inputdata regarding at least one of feeding method, feed type, feedingschedule, medical history, breed, gender, breeding status, age, and bodycondition. According to one embodiment, the at least one server, memoryand processor are configured to process one or more of owner input data,sensor data, and any normalized data to produce a health management planthat includes a customized livestock feedstock recipe that cures the atleast one anomaly.

According to another aspect, a method for manufacturing a customizedfeed for at least one livestock animal is provided. The method includesthe step of obtaining real-time livestock sensor data from at least onesensor located on or around one or more livestock. The data includes atleast one of livestock weight, livestock activity level, livestockammonia level, body temperature, body weight, water intake, or body pH.The method further includes the step of analyzing, by processor, thereal-time livestock sensor data upon receipt from the at least onesensor to detect at least one anomaly in the livestock weight, livestockactivity level, livestock ammonia level, body temperature, body weight,water intake, or body pH. Any one or more health-related anomalies maybe analyzed and detected and stored in the system provided herein. Themethod further includes the step of generating a customized livestockhealth management plan that includes one or more recommended nutritionalchanges for the livestock in the form of a customized feedstock recipe.The recipe is particularly suited and customized to cure the at leastone detected anomaly. The method further includes the step oftransmitting the livestock health management plan wirelessly to at leastone livestock owner interface as provided herein. Upon transmission tothe livestock owner interface, the livestock owner confirms acceptanceof the plan. Upon confirmation of acceptance of the livestock healthmanagement plan, a wireless signal is sent to a feedstock producerincluding instructions to manufacture the customized feedstock recipefor the livestock owner. The method further includes the step ofmanufacturing the customized livestock feed according to the customizedlivestock feed recipe. According to a particular embodiment, the methodfurther includes the step of shipping the customized livestock feed tothe livestock owner.

These and other features and advantages of the present disclosure willbe further understood and appreciated by those skilled in the art byreference to the following specification, claims and appended drawings.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a schematic illustration of the major components of a systemfor livestock management according to one embodiment.

FIG. 2 is a flow chart illustrating a method of managing livestockhealth in real-time according to one embodiment.

DETAILED DESCRIPTION OF THE INVENTION

The present disclosure will now be described more fully hereinafter withreference to exemplary embodiments thereof. These exemplary embodimentsare described so that this disclosure will be thorough and complete, andwill fully convey the scope of the disclosure to those skilled in theart. Indeed, the present disclosure may be embodied in many differentforms and should not be construed as limited to the embodiments setforth herein; rather, these embodiments are provided so that thisdisclosure will satisfy applicable legal requirements.

The embodiments described below may assume various alternativeorientations and step sequences, except where expressly specified to thecontrary. Specific devices and any related processes illustrated in theattached drawings, and described in the following specification aresimply exemplary embodiments of the inventive concepts defined in theappended claims. Hence, specific dimensions and other physicalcharacteristics relating to the embodiments disclosed herein are not tobe considered as limiting, unless the claims expressly state otherwise.

As used in the specification, and in the appended claims, the singularforms “a”, “an”, “the”, include plural referents unless the contextclearly dictates otherwise.

As used in the specification, and in the appended claims, the term“livestock” refers to one or more animals kept or raised in anagricultural or farm setting for pleasure or profit.

As used in the specification, and in the appended claims, the term“medicament” refers to a substance used for medical treatment.

As used in the specification, and in the appended claims, the term“server” refers to a computer in a network utilized to process andprovide data to other computers or components.

Livestock production currently suffers from a fragmented system where ananimal's overall health and weight may not be monitored at all or theanimal may be weighed only a limited number of times during ownership.Any adjustments made to the livestock's nutritional program toaccommodate for changes in weight, health status and other healthindicators are not usually made or, if nutritional changes are made,such changes are made at a time that is too late to improve the animal'shealth or the nutritional changes are merely the livestock ownerpurchasing a different stock feed in a blind attempt to improve healthor weight. That is, even when changes to a livestock feed is made, alivestock owner is usually relegated to purchasing and feeding livestockfrom bulk purchased feed that may not provide the nutritional value thatis needed to cure the changes in livestock health or weight.

The present disclosure provides a significant improvement over thetraditional methods buying bulk stock feed in an effort to improvelivestock overall health and weight. The present disclosure provides asystem and method for measuring various individual livestock physicalparameters (individual animal or normalized over an entire herd) inreal-time. The system and method may also include sensors forenvironmental parameters. The present system and method seek to managethe health of one or more livestock animals in real-time. Thus, thepresent disclosure provides a substantial advancement over the currentstate of the art which relies on a livestock owner to buy stock feedbased on limited parameters or data such as livestock weight which isnot typically obtained on a regular basis. By providing a system andmethod that can monitor both a livestock environment and variousphysical health parameters of the livestock in real-time, a customizedhealth management plan is developed to improve the health of thelivestock in real-time when one or more anomalies are detected in one ormore livestock. Such real-time, quick and efficient response results inhealthier livestock which provides improved profits for the livestockowner. For example, if the livestock is a herd of beef cattle, thelivestock owners profits will be improved by having heavier, healthiercattle that will provide more meat at slaughter.

According to a particular embodiment, the health of the livestock may bemanaged by processing data obtained from the livestock itself, any datainput from the livestock owner, as well data related to the livestockenvironment. The real-time data is continuously analyzed in real-time todetect at least one change or anomaly in livestock health. According toone embodiment, the at least one anomaly may include a deviation inideal livestock weight, livestock activity level, livestock ammonialevel, body temperature, body weight, water intake, or body pH.According to one embodiment the analysis includes a comparison of theaforementioned physical characteristics against a set of ideal, physicaland environmental parameters for a particular animals breed. When atleast one anomaly is detected by the system as provided herein, a signalor alert is immediately transmitted (e.g., wirelessly) to the livestockowner notifying the owner of anomaly in the livestock's physicalwell-being or health or an anomaly in the livestock's environment. Thesignal includes a health management plan that, in turn, includes anutritional plan that includes a customized feedstock recipe to aid incuring the anomaly. A nutritional plan may include recommendations for afeed that is customized to include or remove certain one or morenutritional components that would improve the overall health and weightof the livestock. The livestock owner can confirm or approve thenutritional plan which then signals the feed producer to manufacture thenew customized feedstock for the livestock owner. The feed may then beimmediately shipped to the livestock owner.

According to another embodiment, an anomaly in the livestock'senvironment may be analyzed and detected. Such environmental anomaliesinclude a deviation in environmental temperature, environmentalhumidity, rain quantity, wind speed, and trough water temperature. Whenat least one anomaly is detected by the system as provided herein, asignal or alert is immediately transmitted (e.g., wirelessly) to thelivestock owner notifying the owner of the anomaly to that correctivemeasures may be taken.

According to one embodiment, the system as provided herein includes thecomponents shown in FIG. 1. According to one embodiment, the system asprovided herein includes at least one livestock owner interfaceincluding a data entry system. The livestock owner interface may be inwireless communication with a gateway, at least one server, processorand memory. According to one embodiment, the livestock owner interfaceincludes a livestock owner portal for owner access to the system asprovided herein. According to one embodiment, the owner interfaceincludes an application that may be installed on a stationary devicesuch as, for example, a desktop computer. According to one embodiment,the owner interface includes an application that may be installed on amobile device such as laptop computer or smart device such as a smartphone or tablet. According to either embodiment, a user-friendlydashboard may be provided. According to one embodiment, the ownerinterface includes at least one means for authentication andauthorization. According to one embodiment, each livestock ownerutilizes a custom user name and password that allows access to aparticular livestock owner. According to one embodiment, the ownerinterface allows an owner to review a livestock health management planthat has been generated, historical data or any real-time or live databeing recorded by one or more real-time livestock data sensors on oraround the livestock or throughout the farm.

According to one embodiment, a livestock owner may input data related toa particular livestock animal or a group of livestock animals. Anyparticular livestock animal may be assigned a particular code that istransmitted to identify that particular livestock animal. According toone embodiment, the livestock owner utilizes the livestock ownerinterface to input data. According to one embodiment, the user interfaceprovides a questionnaire or a series of questions for the livestockowner to answer. Such livestock owner input data includes, but is notlimited to, a least one of medical history, breed, gender, breedingstatus, age, current weight, feeding schedule, and body condition.According to one embodiment, the livestock owner may upload informationrelated to livestock animal stool, hair, blood, saliva, tissue,oral/dental health, skeletal health, or DNA/genetic profile if suchinformation is already known.

According to one embodiment, the system includes at least one livestocksensor. The at least one livestock sensor may be coupled to a gatewaythat is in wireless communication with the at least one server,processor and memory. According to one embodiment, the one or moresensors is coupled to or wirelessly connected to at least one customelectronic board. According to one embodiment, the electronic boardfilters a data signal from the sensor and transmits the data signal tothe gateway. The gateway, in turn, transmits the data signal wirelessly(e.g., via internet or through cellular network) to the at least oneserver, processor and memory. According to one embodiment, the livestocksensor data may be viewed via the livestock owner interface inreal-time. According to one embodiment, the at least one livestocksensor wirelessly transmits sensor data in real-time including datarelated to at least one of livestock activity level, livestock ammonialevel, body temperature, body weight, water intake, body pH,environmental temperature, environmental humidity, rain quantity, windspeed, and trough water temperature.

According to one embodiment, one or more sensors are located throughoutthe agricultural environment or farm where livestock are located. Theone or more sensors may be installed in various locations throughout thelivestock's environment. According to one embodiment, the one or moresensors are installed inside a barn or stable. According to oneembodiment, the one or more sensors are installed outside a barn orstable such as, for example, in a pasture or grazing area where thelivestock reside during daytime hours. According to one embodiment, theat least one sensor detects at least one of livestock activity level,livestock ammonia level, body temperature, body weight, water intake,body pH, environmental temperature, environmental humidity, rainquantity, wind speed, and trough water temperature. According to oneembodiment, certain sensor data is obtained through various commercialsensors. According to one embodiment, a sensor containing astatistical-based algorithm is utilized to measure livestock physicalactivity.

According to one embodiment, the system may optionally include at leastone livestock scale. The livestock scale may be coupled to a gatewaythat is in wireless communication with the at least one server,processor and memory. According to one embodiment, the at least onelivestock scale transmits weight data to a gateway that is in wirelesscommunication with at least one server, processor and memory. Accordingto one embodiment, certain sensor data is obtained through one or morecommercially available smart scales.

According to one embodiment, the system includes at least one database.The at least one database may be coupled to or in wireless communicationwith a gateway that is, in turn, in wireless communication with the atleast one server, processor and memory. According to one embodiment, adatabase is provided that stores and maintains various standardized datawith respect to each of the health profiles of particular livestocktypes and the genetic information of particular livestock types (herd orindividual livestock). According to one embodiment, the databasemaintains one or more licenses to access one or more data services whichaid in and provide data related to disease diagnosis, prescriptionsmedicines, health assessment data and genetic data. According to oneembodiment, the aforementioned information is received, standardized ornormalized and stored for later use. According to one embodiment, allstandard data is cleaned and aggregated before further processing.

According to one embodiment, the system includes at least one server.The at least one server may be located in a cloud configuration.According to one embodiment, the system includes at least one computercoupled to the at least one server. The at least one computer may belocated in a cloud configuration and coupled or in communication withthe at least one server. The computer includes at least one processorand memory for analyzing the data as providing here and detecting atleast one anomaly.

According to one embodiment, the data as provided herein is entered intoor received into a cloud pipeline system. According to one embodiment,the cloud pipeline system includes at least one server, processor andmemory to receive, analyze, process, detect anomalies and store thevarious data as provided herein. According to one embodiment, the cloudpipeline system includes more than one or a plurality (e.g., cluster) ofservers receive, process and store the various data as provided herein.According to one embodiment, the cloud pipeline system includes at leastone computer to receive, analyze, process, detect anomalies, and storethe various data as provided herein. According to one embodiment, atleast one server are configured to receive, process and store thevarious data as provided herein. The number of servers, computers or acombination thereof is scalable and varies depending on data size.

According to one embodiment, one or more statistical or machine learningmodels may be utilized to process the data as provided herein. Accordingto one embodiment, the statistical model is one more of linealregression, logistical regression, logarithmical regression, survivalanalysis, anovas, principal competent analysis, ARIMA, or anycombination thereof. According to one embodiment, the machine learningmodel is one or more of decision trees, regression trees, random forest,gradient boosting machine, support vector machine, neural networkbayesian network, or any combination thereof.

According to one embodiment, the system includes a livestock feedproducer interface. The manufacturer interface may include a data entrysystem. The livestock producer interface may be in wirelesscommunication with at least one server. According to one embodiment, thelivestock producer interface is in wireless communication with livestockfeed manufacturing equipment. According to one embodiment, a foodproduct manufacturing apparatus is in wireless communication with atleast one server, processor and memory.

According to one embodiment, a livestock health management plan isgenerated and provided by the methods and systems provided herein. Theplan may include various identifying information such as a client oruser identification number and time stamp. According to one embodiment,the plan is provided to the livestock owner wirelessly via the livestockowner interface. According to one embodiment, the plan is provided to alivestock feed producer wirelessly via the livestock feed manufacturerinterface or directly to the livestock feed manufacturing equipment uponconfirmation of acceptance by the livestock owner. According to oneembodiment, the plan is conveyed to a pre-determined livestockveterinarian to recommend potential therapeutic components to the dietor a therapeutic treatment regimen, if appropriate.

According to one embodiment, the livestock health management planprovides various information and suggestions for the livestock ownerregarding the health and well-being of the livestock, includingsuggestions for improvement. According to one embodiment, the livestockhealth management plan provides an adaptive and customized nutritionalplan. The nutritional plan may provide suggestions as to changes in thediet for a particular livestock animal or a group of livestock animals.The changes to diet include, but are not limited to, changes in proteinintake and overall caloric intake. The nutritional plan further includesa customized feedstock recipe that is particularly tailored to addressat least one anomaly that was analyzed and detected.

According to one embodiment, upon acceptance of the plan by thelivestock owner and transmission to the livestock feed producer, thelivestock feed producer utilizes the nutritional plan and customizedfeedstock recipe to formulate and manufacture a customized feed for aparticular livestock animal or a particular livestock animal group(herd) at a particular farm. According to one embodiment, the livestockfeed producer may adjust various nutritional components in feed such as,for example, vitamin content, mineral content, caloric content, andprotein content. The customized feed may then be shipped directly to thelivestock owner's farm for immediate use.

According to one embodiment, the livestock health management planprovides various information and suggestions for the livestock ownerregarding medical disease diagnosis and treatment regimen. According toone embodiment, anomalies in the consumption of feed and water as wellas anomalies in body temperature may alert the livestock owner topossible diseases and suggest a treatment regimen. According to oneembodiment, the treatment regimen may include the suggestion of theintroduction of one or more medicaments to the livestock animal.

According to one embodiment, the livestock health management planprovides various information and suggestions for the livestock ownerregarding the market condition information and suggestions for aparticular type of livestock. According to one embodiment, the marketcondition information includes, but is not limited to, market prices,target sale prices, market futures, and other related market informationto assist the livestock owner in optimizing the selling logistics.According to one embodiment, the livestock health management planprovides suggestions for changes in farm infrastructure, livestockmanagement practices, or a combination thereof.

According to one embodiment, data and reports, such as sensor data asprovided herein, may be managed and stored in a NoSQL (“non SQL” or“non-relational”) database such as that provided by Apache Cassandra.According to one embodiment, the NoSQL database provides a mechanism forstorage and retrieval of data and reports as provided herein that ismodeled in means other than the tabular relations used in relationaldatabases.

A method of managing livestock health in real-time is provided. Themethod is illustrated in FIG. 2. The method includes the step ofobtaining real-time livestock sensor data from at least one sensorlocated on or around one or more livestock. The data includes at leastone of livestock weight, livestock activity level, livestock ammonialevel, body temperature, body weight, water intake, or body pH. The datais transmitted wirelessly to one or more of a server, processor andmemory as provided herein. The method further includes the step ofanalyzing, by processor, the real-time livestock sensor data uponreceipt from the at least one sensor to detect at least one anomaly inthe livestock weight, livestock activity level, livestock ammonia level,body temperature, body weight, water intake, or body pH. Any one or morehealth-related anomalies may be analyzed, detected and stored in thesystem provided herein. The method further includes the step ofgenerating a customized livestock health management plan that includesone or more recommended nutritional changes for the livestock in theform of a customized feedstock recipe. The recipe is particularly suitedand customized to cure the at least one detected anomaly. The methodfurther includes the step of transmitting the livestock healthmanagement plan wirelessly to at least one livestock owner interface asprovided herein. Upon transmission to the livestock owner interface, thelivestock owner has the option to confirming acceptance of the plan ordenying acceptance. Upon confirmation of acceptance of the livestockhealth management plan, a wireless signal is sent to a feedstockproducer including instructions to manufacture the customized feedstockrecipe for the livestock owner.

According to one embodiment of the method, the livestock sensor data isobtained from a plurality of sensors located on a plurality of livestockand the customized feedstock recipe may be fed to the plurality oflivestock. According to one embodiment of the method, the livestocksensor data is obtained from at least one sensor on or around anindividual livestock animal and the customized feedstock recipe may befed to the individual livestock animal. According to one embodiment ofthe method, the at least one sensor transmits a particular codeassociated with an individual livestock animal such that the customizedfeedstock recipe is particularly suited for the one livestock animalthat matches the particular code. According to one embodiment of themethod, the customized feedstock recipe includes a change in protein,vitamin, mineral or caloric intake to correct the anomaly. According toone embodiment of the method, the health management plan furtherincludes at least one livestock medical diagnosis and, optionally, atleast one prescribed medicament.

A method for manufacturing a customized feed for at least one livestockanimal is provided. The method includes the step of obtaining real-timelivestock sensor data from at least one sensor located on or around oneor more livestock. The data includes at least one of livestock weight,livestock activity level, livestock ammonia level, body temperature,body weight, water intake, or body pH. The method further includes thestep of analyzing, by processor, the real-time livestock sensor dataupon receipt from the at least one sensor to detect at least one anomalyin the livestock weight, livestock activity level, livestock ammonialevel, body temperature, body weight, water intake, or body pH. Any oneor more health-related anomalies may be analyzed and detected and storedin the system provided herein. The method further includes the step ofgenerating a customized livestock health management plan that includesone or more recommended nutritional changes for the livestock in theform of a customized feedstock recipe. The recipe is particularly suitedand customized to cure the at least one detected anomaly. The methodfurther includes the step of transmitting the livestock healthmanagement plan wirelessly to at least one livestock owner interface asprovided herein. Upon transmission to the livestock owner interface, thelivestock owner confirms acceptance of the plan. Upon confirmation ofacceptance of the livestock health management plan, a wireless signal issent to a feedstock producer including instructions to manufacture thecustomized feedstock recipe for the livestock owner. The method furtherincludes the step of manufacturing the customized livestock feedaccording to the customized livestock feed recipe. According to aparticular embodiment, the method further includes the step of shippingthe customized livestock feed to the livestock owner.

Although specific embodiments of the present invention are hereinillustrated and described in detail, the invention is not limitedthereto. The above detailed descriptions are provided as exemplary ofthe present invention and should not be construed as constituting anylimitation of the invention. Modifications will be obvious to thoseskilled in the art, and all modifications that do not depart from thespirit of the invention are intended to be included with the scope ofthe appended claims.

We claim:
 1. A method of managing livestock health in real-time, themethod comprising obtaining real-time livestock sensor data from atleast one sensor located on or around one or more livestock, the datacomprising at least one of livestock weight, livestock activity level,livestock ammonia level, body temperature, body weight, water intake, orbody pH; analyzing, by processor, the real-time livestock sensor data todetect at least one anomaly in the livestock weight, livestock activitylevel, livestock ammonia level, body temperature, body weight, waterintake, or body pH; generating a customized livestock health managementplan that includes a tailored feedstock recipe adapted to cure the atleast one detected anomaly upon being fed to the livestock; transmittingthe livestock health management plan wirelessly to at least onelivestock owner interface; and confirming or denying acceptance of thelivestock health management plan by the livestock owner; wherein uponconfirmation of acceptance of the livestock health management plan, awireless signal is sent to a feedstock producer including instructionsto manufacture the customized feedstock recipe for the livestock owner.2. The method of claim 1, wherein the livestock owner interface includesa livestock owner portal.
 3. The method of claim 2, wherein thelivestock owner interface is a laptop or smart device.
 4. The method ofclaim 1, wherein the livestock sensor data is obtained from a pluralityof sensors located on a plurality of livestock and the customizedfeedstock recipe may be fed to the plurality of livestock.
 5. The methodof claim 1, wherein the livestock sensor data is obtained from at leastone sensor on or around an individual livestock animal and thecustomized feedstock recipe may be fed to the individual livestockanimal.
 6. The method of claim 5, wherein the at least one sensortransmits a particular code associated with an individual livestockanimal.
 7. The method of claim 1, wherein the customized feedstockrecipe includes a change in protein, vitamin, mineral or caloric intaketo correct the anomaly.
 8. The method of claim 1, wherein the healthmanagement plan further includes at least one livestock medicaldiagnosis and, optionally, at least one prescribed medicament.
 9. Asystem for livestock health management comprising: at least one server;at least one livestock owner interface including a data entry system,the livestock owner interface in wireless communication with a gatewayand the at least one server; at least one livestock sensor, thelivestock sensor coupled to a gateway that is in wireless communicationwith the at least one server; a livestock feed producer interfaceincluding a data entry system, the livestock manufacturer interface inwireless communication with the at least one server and livestock feedmanufacturing equipment; and a memory and processor in wirelesscommunication with the server, livestock owner interface, at least onelivestock sensor and livestock producer interface, the memory andprocessor configured to perform the steps of: obtaining real-timelivestock sensor data from at least one sensor located on or around oneor more livestock, the data comprising at least one of livestock weight,livestock activity level, livestock ammonia level, body temperature,body weight, water intake, or body pH; analyzing the real-time livestocksensor data to detect at least one anomaly in the livestock weight,livestock activity level, livestock ammonia level, body temperature,body weight, water intake, or body pH; generating a customized livestockhealth management plan that includes a tailored feedstock recipe adaptedto cure the at least one detected anomaly upon being fed to thelivestock; transmitting the livestock health management plan wirelesslyto at least one livestock owner interface.
 10. The system of claim 9,further comprising at least one livestock scale, the livestock scalecoupled to a gateway that is in wireless communication with the at leastone server, memory and processor.
 11. The system of claim 9, furthercomprising at least one database coupled to or in wireless communicationwith a gateway that is in wireless communication with the at least oneserver, memory and processor.
 11. The system of claim 9, wherein thelivestock owner interface allows the livestock owner to enter individuallivestock input data regarding at least one of feeding method, feedtype, feeding schedule, medical history, breed, gender, breeding status,age, and body condition.
 14. The system of claim 9, wherein the at leastone server, memory and processor are configured to process one or moreof owner input data, sensor data, and any normalized data to produce ahealth management plan that includes a customized livestock feedstockrecipe that cures the at least one anomaly.
 15. A method formanufacturing a customized feed for at least one livestock animal, themethod comprising the steps of: obtaining real-time livestock sensordata from at least one sensor located on or around one or morelivestock, the data comprising at least one of livestock weight,livestock activity level, livestock ammonia level, body temperature,body weight, water intake, or body pH; analyzing, by processor, thereal-time livestock sensor data to detect at least one anomaly in thelivestock weight, livestock activity level, livestock ammonia level,body temperature, body weight, water intake, or body pH; generating acustomized livestock health management plan that includes a tailoredfeedstock recipe adapted to cure the at least one detected anomaly uponbeing fed to the livestock; transmitting the livestock health managementplan wirelessly to at least one livestock owner interface; andconfirming acceptance of the livestock health management plan by thelivestock owner; transmitting the confirmed livestock health managementplan from the livestock owner to a feedstock producer; and manufacturingthe customized livestock feed according to the customized livestock feedrecipe.
 16. The method of claim 15, further comprising the step ofshipping the customized livestock feed to the livestock owner.